• Bring a diligence mindset to build innovative solutions for clients looking to leverage data for performance analytics and insights in connection with managing the business for near and long-term transformational events, including mergers and acquisitions (M&A), divestitures, carve-outs, and exit preparedness. Utilize core accounting and financial due diligence skills to ensure data is reconciled and built at the transaction-level leading to supportable and auditable performance metrics. • Provide strategic counsel to corporate and private equity leaders, including direct access to strategists, decision-makers, operating executives, managing directors, chief financial officers, and corporate development officers. • Perform data extraction, transformation, modeling, data visualization, benchmarking, and various descriptive and predictive analyses to help clients make better decisions. Generate compelling insights by analyzing and interpreting trends or patterns in large and intricate data sets. • Lead high-performing teams in data analytics, consulting, and/or private equity, combining technical knowledge, data analytics, and data visualization skills to drive valuable business and commercial insights. • Cultivate new client relationships and deepen existing ones. Develop strong working relationships with clients, influencing and supporting key decision-makers. Conduct interviews with clients to analyze current state/future state gaps and pinpoint root causes of challenges. Guide clients and teams along their analytics journey, which includes aligning with their strategic vision for analytics, crafting a practical roadmap of initiatives, and aiding our clients in implementing those initiatives. • Develop and support thought leadership and intellectual capital, using data and insights to inform conclusions and support decision-making. • Contribute to the continuous improvement of the fast-growing practice. • Coach, mentor, and develop team members to achieve their career goals. Mentor team members by coaching colleagues, providing regular ongoing feedback and annual performance reviews, and helping project teams resolve multi-faceted issues. • Suggest methods and leverage tools to automate the client’s end-to-end process from data extraction and preparation to reporting in support of performance analytics. • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards. • Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes. • Contribute to the creation of forecasting and predictive analytics models. • Lead data-driven discussions in management meetings, translate and communicate complex data findings into clear, strategic recommendations for due diligence findings and transaction models to clients and internal deal teams.